A data-driven robust design optimization method and its application in compressor blade
H Wang, L Gao, G Yang, B Wu - Physics of Fluids, 2023 - pubs.aip.org
The probability-based robust optimization methods require a large amount of sample data to
build probability distribution models of uncertain parameters. However, it is a common …
build probability distribution models of uncertain parameters. However, it is a common …
Industrial applications of intelligent adaptive sampling methods for multi-objective optimization
Multi-objective optimization is an essential component of nearly all engineering design.
However, for industrial applications, the design process typically demands running …
However, for industrial applications, the design process typically demands running …
Efficient robust design for thermoacoustic instability analysis: A Gaussian process approach
In the preliminary phase of analyzing the thermoacoustic characteristics of a gas turbine
combustor, implementing robust design principles is essential to minimize detrimental …
combustor, implementing robust design principles is essential to minimize detrimental …
Finding maximum expected improvement for high-dimensional design optimization
Industrial design fundamentally relies on high-dimensional multi-objective optimization.
Bayesian Global Optimization (BGO) based on Gaussian Processes (GPs) has been a major …
Bayesian Global Optimization (BGO) based on Gaussian Processes (GPs) has been a major …
Efficient robust design for thermoacoustic instability analysis: a Gaussian process approach
In the preliminary phase of analysing the thermoacoustic characteristics of a gas turbine
combustor, implementing robust design principles is essential to minimize detrimental …
combustor, implementing robust design principles is essential to minimize detrimental …
Bayesian task embedding for few-shot Bayesian optimization
We describe a method for Bayesian optimization by which one may incorporate data from
multiple systems whose quantitative interrelationships are unknown a priori. All general (non …
multiple systems whose quantitative interrelationships are unknown a priori. All general (non …
[PDF][PDF] DRAFT: EFFICIENT ROBUST DESIGN FOR THERMOACOUSTIC INSTABILITY ANALYSIS: A GAUSSIAN PROCESS APPROACH
S Guo, CF Silva, W Polifke - researchgate.net
In the preliminary phase of analysing the thermoacoustic characteristics of a gas turbine
combustor, implementing robust design principles is essential to minimize detrimental …
combustor, implementing robust design principles is essential to minimize detrimental …
[PDF][PDF] Simulation of Liquid Flow Permeability for Dendritic Structures during Solidification Process
Alloy solidification is a two stage process, which starts by nucleation and ends by growth of
solid phases. Subsequently, number, distribution and morphology (dendritic or nondendritic) …
solid phases. Subsequently, number, distribution and morphology (dendritic or nondendritic) …